Our content delivery network seamlessly integrates the management and publication of multi-type and multi-sourced content and resources across multiple web properties and interfaces. Health content has been and is being deployed into the following applications:

• Structured databases (drugs, diseases, community support, diagnostic tests and procedures, and more) on private and public health portals
• Mobile applications
• EHR, EMR and PHR applications
• Interactive health and wellness resources such as MediResource health risk assessments, Health Coach and other applications
• External structured and freestyle content (health news, third-party source content)
• External resource links (interactive functional elements, web services, RSS, widgets)
• User-generated content streams (blogs, forums, wikis)
• User customization information
• Multimedia files (videos, interactive content)
• Online content-related display and rich media ads

Web-based elements of the MediResource health content network deliver a custom interface, functionality and content subsets based on your specific requirements. A component-based network architecture enables easy syndication of stand-alone subsets of functionality and content into partners' web properties.

Our delivery infrastructure provides the following content delivery and management models:

• ASP - content and user interface resides on MediResource servers
• EMR/PHR integration via dynamic APIs
• Third-party integration via industry-standard communication protocols and/or taxonomies
• XML/SOAP/RSS and other data feed protocols

Content delivered by these options can be managed either by MediResource, by the partner or by a combined content management model. Additional delivery models can be integrated into the network as required.

Within the network, content elements are connected into variety of complex content structures. These structures are defined by subject-matter relationships between elements and structures, user customization preferences and business rules or requirements. This approach provides you with complete, accurate health information while meeting business requirements for branding, uniqueness, user reach, communication and patient engagement.

• Dynamic content customization. Content delivered to the patient can be customized based on their health and demographic attributes as well as your business rules and requirements.
• Multiple business and content integration models. This allows content elements related to specific health topic(s) to be grouped and highlighted. Health messages are reinforced and grouped by demographic, behavior or targeted content and prioritized paths defined to high-value content elements via navigation, cluster and other content structures. Multiple targeted sections (grouped by demographic, behavior or target content) can be deployed on a single application, or the same set of targeted sections can be propagated across multiple distribution channels.
• Content clustering. Connecting elements related to number of health topics and subjects. Clusters can connect (relate) to multiple other clusters, providing users with practically unlimited navigation and exploration paths through the content stack. Clusters are initiated as part of topic structure definition by subject matter experts, with new elements dynamically interconnected within the content stack.
• Predictive browsing and behavior targeting. Metadata attributes of content elements and clusters are used to dynamically generate browsing-centered, pre-selected and user-focused elements (recommended articles, "people who read this article also read these," hot topics, etc). These structures are designed to provide user with a complete picture of focused content, increasing levels of user engagement and satisfaction and at the same time increasing critical business performance levels of page views per visits, length of visits and numbers of return visits.
• Enhanced search. All internal and appropriate external content elements are automatically analyzed and pre-indexed for efficient search operations. A number of search helper processes are employed (removal of low-value words, optimizing for repeat words, misspelling/phonetic corrections and root-word-optimized searches) to ensure search result relevancy, optimize search engine performance and meet business goals of message targeting, user communications and engagement.

Our network architecture has been designed to minimize the manual effort required for routine operations and content management. Most routine input and output functions (such as content import, analysis, clustering and interconnections) are fully automated. Manual processes are leveraged to maximize efficiency and minimize effort. We provide a scalable and efficient model to simplify integration, reduce development costs and satisfy your business requirements.